METHODS: The proposed technique decomposes ictal EEG recursively, eliminates a few unwanted components in every recursive cycle, and finally selects the most significant ictal component. Back-projected EEG, regenerated from that component, was used for source estimation. Fifty sets of simulated EEGs and 24 seizures in 8 patients were analyzed. Dipole sources of simulated-EEGs were compared with a known dipole location whereas epileptogenic zones of the seizures were compared with their corresponding sites of successful surgery. The RIDICS technique was compared with a conventional technique.

RESULTS: The RIDICS technique estimated the dipole sources at an average distance of 12.86 mm from the original dipole location, shorter than the distances obtained using the conventional technique. Epileptogenic zones of the patients, determined by the RIDICS technique, were highly concordant with the sites of surgery with a concordance rate of 83.33%.

CONCLUSIONS: Results show that the RIDICS technique can be a promising quantitative technique for ictal component selection.

DESIGN: Cross-sectional study.

SETTING: Teaching Hospital.

PARTICIPANTS: 1085 individuals aged 55 years or over.

MEASUREMENTS: Phase Angle was obtained using bioimpedance analysis with the Bodystat QuadScan® 4000. Diabetes mellitus was considered present with fasting hyperglycaemia (serum fasting glucose >6.66 mmol/l), HbA1c > 42 mmol/mol (6.1%), or self-reported Diabetes or the consumption of glucose-lowering agents.

RESULTS: The mean age of the (standard deviation) of the 1,085 participants was 68.11 (7.12) years and 60.7% were women. Among male participants, individuals with PhA within the lowest quartile (PhA ≤4.9) were significantly more likely to have diabetes mellitus [odds Ratio (95% confidence interval, CI), 2.02 (1.17-3.47)] following adjustments for age, body mass index and other comorbidities. The above relationship was attenuated following further adjustment hypoglycaemic medications. Men on oral hypoglycaemic agents had significantly reduced PhA [mean difference (95% CI), -0.44 (-0.67 to -0.22)]. No significant relationship between PhA and diabetes existed among women.

METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was adopted for the review which utilized three main journal databases, namely PubMed, EBSCOhost, and Web of Science. Tobacco addiction and alcohol abuse were excluded in this review. Retrieved citations were screened, and the data were extracted based on strict inclusion and exclusion criteria. Inclusion criteria include the article being full text, published from the year 2016 until 2020 and provided via open access resource or subscribed to by the institution. Quality assessment was done using Mixed Methods Appraisal Tools (MMAT) version 2018 to assess the methodological quality of the included studies. Given the heterogeneity of the included studies, a descriptive synthesis of the included studies was undertaken.

RESULTS: Out of 425 articles identified, 22 quantitative articles and one qualitative article were included in the final review. Both the risk and protective factors obtained were categorized into three main domains: individual, family, and community factors. The individual risk factors identified were traits of high impulsivity; rebelliousness; emotional regulation impairment, low religious, pain catastrophic, homework completeness, total screen time and alexithymia; the experience of maltreatment or a negative upbringing; having psychiatric disorders such as conduct problems and major depressive disorder; previous e-cigarette exposure; behavioral addiction; low-perceived risk; high-perceived drug accessibility; and high-attitude to use synthetic drugs. The familial risk factors were prenatal maternal smoking; poor maternal psychological control; low parental education; negligence; poor supervision; uncontrolled pocket money; and the presence of substance-using family members. One community risk factor reported was having peers who abuse drugs. The protective factors determined were individual traits of optimism; a high level of mindfulness; having social phobia; having strong beliefs against substance abuse; the desire to maintain one's health; high paternal awareness of drug abuse; school connectedness; structured activity and having strong religious beliefs.

OBJECTIVE: This study aimed to examine the effect of depression and anxiety on QOL in stroke survivor-caregiver dyads using dyadic analysis technique - the Actor-Partner Interdependence Model (APIM).

METHODS: This was a cross-sectional pilot study with a total of 30 participating dyads (30 stroke survivors and 30 family caregivers) from Hospital Rehabilitasi Cheras, Kuala Lumpur, Malaysia. This pilot study was conducted over a period of 3 months, between December 2014 and February 2015. Depression and anxiety were assessed using the Hospital Anxiety and Depression Scale (HADS). QOL was assessed using the Short Form-12 Health Survey (SF-12). All analyses were carried out using IBM SPSS version 22. Dyadic data were analysed using multilevel modelling (MLM).

RESULTS: Depression was uniquely associated with an individual's own QOL. Survivors and caregivers with higher depression had poorer physical component summary (PCS) scores and mental component summary (MCS) scores. Stroke survivor's depression exerted a significant actor effect on their PCS (b=-1.42, p=0.001) and MCS (b=-1.52, p<0.001). Caregiver's depression exerted a significant actor effect on their PCS (b=-2.53, p<0.001) and MCS (b=-1.51, p=0.004). Caregivers' anxiety negatively influenced their own MCS (b=-0.58, p=0.031). Furthermore, depression exerted a significant partner effect on PCS in stroke survivors (b=-1.19, p=0.003). Caregivers' depression was also related to their stroke survivors' poorer QOL, particularly PCS.